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博士研究生岗位:长期机器人自主性下的不确定环境安全规划与决策机制研究

代尔夫特理工大学Delft University of Technology

Delft · 荷兰

有资助信息截止:2026年11月15日导师与申请资料 ↓

01项目概览

代尔夫特理工大学此研究项目专注于开发机器人的规划与决策方法,以使其在动态环境中能够长期安全运行。申请者将结合基于模型的规划与学习技术,在 OPERA 项目中与欧洲合作伙伴合作,在对周围环境缺乏了解的情况下解决确保安全与可靠性的挑战。

02研究内容

职位说明: 在人群环境中长时间运行的机器人必须在保持安全的前提下,进行超出接下来几秒的规划。它们需要预测周围环境及其中人员的变化趋势,了解这些预测的可信度,并在预测失败时调整计划。在欧盟资助的 OPERA 项目中,代尔夫特理工大学通过开发将快速反应行为与更审慎的推理、规划与决策相结合的方法,为机器人应用通用人工智能做出了贡献。 “博士研究生岗位”中,您将开发规划与决策方法,使机器人在对其周围环境和人员的信息掌握不完整的情况下,能够在长期时间范围内安全且可靠地行动。该研究涉及基于模型的规划与控制与基于学习的模型之间的结合,并探讨安全性、性能与实时计算之间的权衡问题。您将制定这些方法,并分析其保证条件与故障模式。该研究与 OPERA 在基于 GPAI 的规划与决策、以人类为中心环境中的长期推理以及自适应人机交互与机器人环境交互方面的任务密切相关。 根据您的背景,研究工作可涉及最优控制与模型预测控制、运动规划、概率建模与估计,或基于学习的方法。重点在于那些表述清晰、故障模式易于理解,并在仿真及实际机器人上得到验证的方法。

03申请条件

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Job requirements: The ideal candidate for this PhD position has a strong background in control, optimization, or motion planning and is motivated by the question of how robots can plan safely and reliably over long time horizons. We welcome applicants from all backgrounds who want to work at the intersection of planning, control, and learning. You have: An MSc degree in Systems and Control, Robotics, Applied Mathematics, or a closely related field. A strong interest in safe planning and decision-making for robots, at the intersection of planning, control, and learning. A passion for rigorous, theoretically grounded research, combined with an eagerness to validate ideas in simulation and on real robots. Strong analytical and mathematical skills, in particular in optimization, probability and statistics, and dynamical systems. Excellent communication skills and proficiency in English (written and verbal), as required for academic publication and international collaboration. You are particularly encouraged to apply if you have experience in one or more of the following areas: Hands-on experience implementing optimization-based planners or controllers (e.g., model predictive control with acados or CasADi) in C++ or Python. Safe or robust control and planning under uncertainty. Learned dynamics or prediction models, model-based reinforcement learning. Uncertainty quantification, probabilistic or Bayesian modeling, state estimation. Long-horizon or hierarchical planning, prediction of human or multi-agent behavior. Real-robot deployment with ROS or ROS 2. As part of OPERA, you will travel to meet and collaborate with the project’s European partners and attend regular consortium meetings. We particularly encourage applications from women and other underrepresented groups, as we are committed to building a diverse and inclusive research environment. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation. Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

04资助与待遇

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Conditions of employment: Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3059 - €3881 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.

05申请材料与流程

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Application procedure: Are you interested in this vacancy? Please apply no later than 15 November 2026 via the application button and upload the following documents: A letter of motivation explaining why you are the right candidate for this project An updated cv Exam transcipts from your Bachelor and Master A copy of your MSc thesis, or draft MSc thesis (or a link to access it) You can address your application to [会员专属信息] [会员专属信息] and [会员专属信息] Babuska. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements . Please note: #EUfunded This is an EU funded project, named OPERA, with project number 101298363, within program HORIZON/HORIZON-CL4-2025-04-DIGITAL-EMERGING-07 You can apply online. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security. Please do not contact us for unsolicited services.